Mitochondrial genomes provided the first widely used sequences that were sufficiently informative to resolve relationships among animals across a wide taxonomic domain, from within species to between phyla. However, mitogenome studies supported several anomalous relationships and fell partly out of favour as sequencing multiple, independent nuclear loci proved to be highly effective. A tendency to blame mitochondrial DNA (mtDNA) has overshadowed efforts to understand and ameliorate underlying model misspecification. Here we find that influential assessments of the infidelity of mitogenome phylogenies have often been overstated, but nevertheless, substitution saturation and compositional non-stationarity substantially mislead reconstruction. We show that RY coding the mtDNA, excluding protein-coding 3rd codon sites, partitioning models based on amino acid hydrophobicity and enhanced taxon sampling improve the accuracy of mitogenomic phylogeny reconstruction for placental mammals, almost to the level of multi-gene nuclear datasets. Indeed, combined analysis of mtDNA with 3-fold longer nuclear sequence data either maintained or improved upon the nuclear support for all generally accepted clades, even those that mtDNA alone did not favour, thus indicating "hidden support". Confident mtDNA phylogeny reconstruction is especially important for understanding the evolutionary dynamics of mitochondria themselves, and for merging extinct taxa into the tree of life, with ancient DNA often only accessible as mtDNA. Our ancient mtDNA analyses lend confidence to the relationships of three extinct megafaunal taxa: glyptodonts are nested within armadillos, the South American ungulate, Macrauchenia is sister to horses and rhinoceroses, and sabre-toothed and scimitar cats are the monophyletic sister-group of modern cats.
The migration of anadromous fish in heterogenic environments unceasingly imposes a selective pressure that results in genetic variation for local adaptation. However, discrimination of anadromous fish populations by fine-scale local adaptation is challenging because of their high rate of gene flow, highly connected divergent population, and large population size. Recent advances in next-generation sequencing (NGS) have expanded the prospects of defining the weakly structured population of anadromous fish. Therefore, we used NGS-based restriction site-associated DNA (NextRAD) techniques on 300 individuals of an anadromous Hilsa shad (Tenualosa ilisha) species, collected from nine strategic habitats, across their diverse migratory habitats, which include sea, estuary, and different freshwater rivers. The NextRAD technique successfully identified 15,453 single nucleotide polymorphism (SNP) loci. Outlier tests using the FST OutFLANK and pcadapt approaches identified 74 and 449 SNPs (49 SNPs being common), respectively, as putative adaptive loci under a divergent selection process. Our results, based on the different cluster analyses of these putatively adaptive loci, suggested that local adaptation has divided the Hilsa shad population into two genetically structured clusters, in which marine and estuarine collection sites were dominated by individuals of one genetic cluster and different riverine collection sites were dominated by individuals of another genetic cluster. The phylogenetic analysis revealed that all the riverine populations of Hilsa shad were further subdivided into the north-western riverine (turbid freshwater) and the north-eastern riverine (clear freshwater) ecotypes. Among all of the putatively adaptive loci, only 36 loci were observed to be in the coding region, and the encoded genes might be associated with important biological functions related to the local adaptation of Hilsa shad. In summary, our study provides both neutral and adaptive contexts for the observed genetic divergence of Hilsa shad and, consequently, resolves the previous inconclusive findings on their population genetic structure across their diverse migratory habitats. Moreover, the study has clearly demonstrated that NextRAD sequencing is an innovative approach to explore how dispersal and local adaptation can shape genetic divergence of non-model anadromous fish that intersect diverse migratory habitats during their life-history stages.